Annotation

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The Artificial Intelligence (AI) course introduces the fundamental concepts of modern theory and provides knowledge about the practical use of some basic methods in real-world applications. The lectures cover topics, such as: Agents. Intelligent agents. Solving problems by searching. Planning. Logic. Logical agents. Making decisions in fuzzy / uncertain information. The probabilistic approach. Machine Learning theory. Training of probability models. Communication, perception, action. AI Tools. Applications (natural speech processing, emotional intelligence, robotics, data interpretation, expert systems, etc.), as well as Philosophy and Ethics of Artificial Intelligence.

Content

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Main topics of the syllabus:

• Agents. Intelligent agents,
• Solving problems by searching,
• Planning,
• Logic. Logical agents,
• Making decisions in fuzzy / uncertain information,
• The probabilistic approach. Training of probability models,
• Machine Learning,
• Communication, perception, action. 
• AI Toolsand means. 
• Applications (natural speech processing, emotional intelligence, robotics, data interpretation, expert systems, etc.), 
• Philosophy and Ethics of Artificial Intelligence.